Pub Date : 2024-11-01DOI: 10.1001/jamaneurol.2024.3770
Bruno Dubois, Nicolas Villain, Lon Schneider, Nick Fox, Noll Campbell, Douglas Galasko, Miia Kivipelto, Frank Jessen, Bernard Hanseeuw, Mercè Boada, Frederik Barkhof, Agneta Nordberg, Lutz Froelich, Gunhild Waldemar, Kristian Steen Frederiksen, Alessandro Padovani, Vincent Planche, Christopher Rowe, Alexandre Bejanin, Agustin Ibanez, Stefano Cappa, Paulo Caramelli, Ricardo Nitrini, Ricardo Allegri, Andrea Slachevsky, Leonardo Cruz de Souza, Andrea Bozoki, Eric Widera, Kaj Blennow, Craig Ritchie, Marc Agronin, Francisco Lopera, Lisa Delano-Wood, Stéphanie Bombois, Richard Levy, Madhav Thambisetty, Jean Georges, David T Jones, Helen Lavretsky, Jonathan Schott, Jennifer Gatchel, Sandra Swantek, Paul Newhouse, Howard H Feldman, Giovanni B Frisoni
Importance: Since 2018, a movement has emerged to define Alzheimer disease (AD) as a purely biological entity based on biomarker findings. The recent revision of the Alzheimer Association (AA) criteria for AD furthers this direction. However, concerns about a purely biological definition of AD being applied clinically, the understanding of AD by society at large, and the translation of blood-based biomarkers into clinical practice prompt these International Working Group (IWG) updated recommendations.
Objective: To consider the revised AA criteria and to offer an alternative definitional view of AD as a clinical-biological construct for clinical use. The recommendations of the 2021 IWG diagnostic criteria are updated for further elaborating at-risk and presymptomatic states.
Evidence review: PubMed was searched for articles published between July 1, 2020, and March 1, 2024, using the terms "biomarker" OR "amyloid" OR "tau" OR "neurodegeneration" OR "preclinical" OR "CSF" OR "PET" OR "plasma" AND "Alzheimer's disease." The references of relevant articles were also searched.
Findings: In the new AA diagnostic criteria, AD can be defined clinically as encompassing cognitively normal people having a core 1 AD biomarker. However, recent literature shows that the majority of biomarker-positive cognitively normal individuals will not become symptomatic along a proximate timeline. In the clinical setting, disclosing a diagnosis of AD to cognitively normal people with only core 1 AD biomarkers represents the most problematic implication of a purely biological definition of the disease.
Conclusions and relevance: The ultimate aim of the field was to foster effective AD treatments, including preventing symptoms and dementia. The approach of diagnosing AD without a clinical and biological construct would be unwarranted and potentially concerning without a clear knowledge of when or whether symptoms will ever develop. It is recommended that those who are amyloid-positive only and, more generally, most biomarker-positive cognitively normal individuals, should not be labeled as having AD. Rather, they should be considered as being at risk for AD. The expansion of presymptomatic AD is viewed as a better diagnostic construct for those with a specific pattern of biomarkers, indicating that they are proximate to the expression of symptoms in the near future.
重要性:自 2018 年以来,出现了根据生物标志物研究结果将阿尔茨海默病(AD)定义为纯生物实体的运动。阿尔茨海默病协会(AA)最近对阿尔茨海默病标准的修订进一步推动了这一方向。然而,人们对将 AD 的纯生物学定义应用于临床、整个社会对 AD 的理解以及将基于血液的生物标记物转化为临床实践等问题的担忧,促使国际工作组(IWG)提出了这些最新建议:考虑修订后的AA标准,并为AD提供另一种定义视角,将其作为一种临床生物结构用于临床。对 2021 年 IWG 诊断标准的建议进行了更新,以进一步阐述高危状态和症状前状态:使用术语 "生物标志物 "或 "淀粉样蛋白 "或 "tau "或 "神经变性 "或 "临床前 "或 "CSF "或 "PET "或 "血浆 "和 "阿尔茨海默病 "检索 PubMed 上 2020 年 7 月 1 日至 2024 年 3 月 1 日期间发表的文章。还检索了相关文章的参考文献:在新的 AA 诊断标准中,AD 在临床上可被定义为包括认知正常且具有 1 个核心 AD 生物标志物的人。然而,最近的文献显示,大多数生物标志物阳性的认知正常人不会在近似时间内出现症状。在临床环境中,对认知正常但只有核心 1 AD 生物标志物的人进行 AD 诊断,是纯生物学疾病定义的最大问题所在:该领域的最终目标是促进有效的注意力缺失症治疗,包括预防症状和痴呆症。在不清楚何时或是否会出现症状的情况下,在没有临床和生物学建构的情况下诊断注意力缺失症的方法是毫无根据的,而且可能会令人担忧。建议不要将仅淀粉样蛋白阳性的人,以及大多数生物标志物阳性的认知正常的人贴上注意力缺失症的标签。相反,他们应被视为有患注意力缺失症的风险。对于那些具有特定生物标志物模式的人来说,扩大无症状 AD 的范围被视为一种更好的诊断方法,表明他们在不久的将来就会出现症状。
{"title":"Alzheimer Disease as a Clinical-Biological Construct-An International Working Group Recommendation.","authors":"Bruno Dubois, Nicolas Villain, Lon Schneider, Nick Fox, Noll Campbell, Douglas Galasko, Miia Kivipelto, Frank Jessen, Bernard Hanseeuw, Mercè Boada, Frederik Barkhof, Agneta Nordberg, Lutz Froelich, Gunhild Waldemar, Kristian Steen Frederiksen, Alessandro Padovani, Vincent Planche, Christopher Rowe, Alexandre Bejanin, Agustin Ibanez, Stefano Cappa, Paulo Caramelli, Ricardo Nitrini, Ricardo Allegri, Andrea Slachevsky, Leonardo Cruz de Souza, Andrea Bozoki, Eric Widera, Kaj Blennow, Craig Ritchie, Marc Agronin, Francisco Lopera, Lisa Delano-Wood, Stéphanie Bombois, Richard Levy, Madhav Thambisetty, Jean Georges, David T Jones, Helen Lavretsky, Jonathan Schott, Jennifer Gatchel, Sandra Swantek, Paul Newhouse, Howard H Feldman, Giovanni B Frisoni","doi":"10.1001/jamaneurol.2024.3770","DOIUrl":"https://doi.org/10.1001/jamaneurol.2024.3770","url":null,"abstract":"<p><strong>Importance: </strong>Since 2018, a movement has emerged to define Alzheimer disease (AD) as a purely biological entity based on biomarker findings. The recent revision of the Alzheimer Association (AA) criteria for AD furthers this direction. However, concerns about a purely biological definition of AD being applied clinically, the understanding of AD by society at large, and the translation of blood-based biomarkers into clinical practice prompt these International Working Group (IWG) updated recommendations.</p><p><strong>Objective: </strong>To consider the revised AA criteria and to offer an alternative definitional view of AD as a clinical-biological construct for clinical use. The recommendations of the 2021 IWG diagnostic criteria are updated for further elaborating at-risk and presymptomatic states.</p><p><strong>Evidence review: </strong>PubMed was searched for articles published between July 1, 2020, and March 1, 2024, using the terms \"biomarker\" OR \"amyloid\" OR \"tau\" OR \"neurodegeneration\" OR \"preclinical\" OR \"CSF\" OR \"PET\" OR \"plasma\" AND \"Alzheimer's disease.\" The references of relevant articles were also searched.</p><p><strong>Findings: </strong>In the new AA diagnostic criteria, AD can be defined clinically as encompassing cognitively normal people having a core 1 AD biomarker. However, recent literature shows that the majority of biomarker-positive cognitively normal individuals will not become symptomatic along a proximate timeline. In the clinical setting, disclosing a diagnosis of AD to cognitively normal people with only core 1 AD biomarkers represents the most problematic implication of a purely biological definition of the disease.</p><p><strong>Conclusions and relevance: </strong>The ultimate aim of the field was to foster effective AD treatments, including preventing symptoms and dementia. The approach of diagnosing AD without a clinical and biological construct would be unwarranted and potentially concerning without a clear knowledge of when or whether symptoms will ever develop. It is recommended that those who are amyloid-positive only and, more generally, most biomarker-positive cognitively normal individuals, should not be labeled as having AD. Rather, they should be considered as being at risk for AD. The expansion of presymptomatic AD is viewed as a better diagnostic construct for those with a specific pattern of biomarkers, indicating that they are proximate to the expression of symptoms in the near future.</p>","PeriodicalId":20,"journal":{"name":"ACS Medicinal Chemistry Letters","volume":" ","pages":""},"PeriodicalIF":20.4,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142557844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-01Epub Date: 2024-09-02DOI: 10.1002/cac2.12607
Jialiang Cai, Lina Song, Feng Zhang, Suiyi Wu, Guiqi Zhu, Peiling Zhang, Shiping Chen, Junxian Du, Biao Wang, Yufan Cai, Yi Yang, Jinglei Wan, Jian Zhou, Jia Fan, Zhi Dai
Background: The efficacy of immune checkpoint blockade therapy in patients with hepatocellular carcinoma (HCC) remains poor. Although serine- and arginine-rich splicing factor (SRSF) family members play crucial roles in tumors, their impact on tumor immunology remains unclear. This study aimed to elucidate the role of SRSF10 in HCC immunotherapy.
Methods: To identify the key genes associated with immunotherapy resistance, we conducted single-nuclear RNA sequencing, multiplex immunofluorescence, and The Cancer Genome Atlas and Gene Expression Omnibus database analyses. We investigated the biological functions of SRSF10 in immune evasion using in vitro co-culture systems, flow cytometry, various tumor-bearing mouse models, and patient-derived organotypic tumor spheroids.
Results: SRSF10 was upregulated in various tumors and associated with poor prognosis. Moreover, SRSF10 positively regulated lactate production, and SRSF10/glycolysis/ histone H3 lysine 18 lactylation (H3K18la) formed a positive feedback loop in tumor cells. Increased lactate levels promoted M2 macrophage polarization, thereby inhibiting CD8+ T cell activity. Mechanistically, SRSF10 interacted with the 3'-untranslated region of MYB, enhancing MYB RNA stability, and subsequently upregulating key glycolysis-related enzymes including glucose transporter 1 (GLUT1), hexokinase 1 (HK1), lactate dehydrogenase A (LDHA), resulting in elevated intracellular and extracellular lactate levels. Lactate accumulation induced histone lactylation, which further upregulated SRSF10 expression. Additionally, lactate produced by tumors induced lactylation of the histone H3K18la site upon transport into macrophages, thereby activating transcription and enhancing pro-tumor macrophage activity. M2 macrophages, in turn, inhibited the enrichment of CD8+ T cells and the proportion of interferon-γ+CD8+ T cells in the tumor microenvironment (TME), thus creating an immunosuppressive TME. Clinically, SRSF10 could serve as a biomarker for assessing immunotherapy resistance in various solid tumors. Pharmacological targeting of SRSF10 with a selective inhibitor 1C8 enhanced the efficacy of programmed cell death 1 (PD-1) monoclonal antibodies (mAbs) in both murine and human preclinical models.
Conclusions: The SRSF10/MYB/glycolysis/lactate axis is critical for triggering immune evasion and anti-PD-1 resistance. Inhibiting SRSF10 by 1C8 may overcome anti-PD-1 tolerance in HCC.
背景:免疫检查点阻断疗法对肝细胞癌(HCC)患者的疗效仍然不佳。尽管富含丝氨酸和精氨酸的剪接因子(SRSF)家族成员在肿瘤中发挥着关键作用,但它们对肿瘤免疫学的影响仍不清楚。本研究旨在阐明 SRSF10 在 HCC 免疫治疗中的作用:为了确定与免疫治疗耐药性相关的关键基因,我们进行了单核 RNA 测序、多重免疫荧光以及癌症基因组图谱和基因表达总库数据库分析。我们利用体外共培养系统、流式细胞术、各种肿瘤小鼠模型和患者来源的器官型肿瘤球状体研究了SRSF10在免疫逃避中的生物学功能:结果:SRSF10在多种肿瘤中上调,并与不良预后相关。此外,SRSF10 能正向调节乳酸盐的产生,SRSF10/糖酵解/组蛋白 H3 赖氨酸 18 乳化(H3K18la)在肿瘤细胞中形成正反馈回路。乳酸水平的增加促进了 M2 巨噬细胞的极化,从而抑制了 CD8+ T 细胞的活性。从机制上讲,SRSF10与MYB的3'-非翻译区相互作用,增强了MYB RNA的稳定性,随后上调了关键的糖酵解相关酶,包括葡萄糖转运体1(GLUT1)、己糖激酶1(HK1)、乳酸脱氢酶A(LDHA),导致细胞内和细胞外乳酸水平升高。乳酸积累诱导组蛋白乳化,进一步上调 SRSF10 的表达。此外,肿瘤产生的乳酸在转运到巨噬细胞后会诱导组蛋白 H3K18la 位点的乳化,从而激活转录并增强促肿瘤巨噬细胞的活性。反过来,M2 巨噬细胞又会抑制肿瘤微环境(TME)中 CD8+ T 细胞的富集和干扰素-γ+CD8+ T 细胞的比例,从而形成免疫抑制的 TME。在临床上,SRSF10 可作为评估各种实体瘤免疫疗法耐药性的生物标记物。用选择性抑制剂1C8对SRSF10进行药理靶向治疗,可提高程序性细胞死亡1(PD-1)单克隆抗体(mAbs)在小鼠和人类临床前模型中的疗效:SRSF10/MYB/糖酵解/乳酸轴是引发免疫逃避和抗PD-1耐药性的关键。通过1C8抑制SRSF10可克服HCC的抗PD-1耐受性。
{"title":"Targeting SRSF10 might inhibit M2 macrophage polarization and potentiate anti-PD-1 therapy in hepatocellular carcinoma.","authors":"Jialiang Cai, Lina Song, Feng Zhang, Suiyi Wu, Guiqi Zhu, Peiling Zhang, Shiping Chen, Junxian Du, Biao Wang, Yufan Cai, Yi Yang, Jinglei Wan, Jian Zhou, Jia Fan, Zhi Dai","doi":"10.1002/cac2.12607","DOIUrl":"10.1002/cac2.12607","url":null,"abstract":"<p><strong>Background: </strong>The efficacy of immune checkpoint blockade therapy in patients with hepatocellular carcinoma (HCC) remains poor. Although serine- and arginine-rich splicing factor (SRSF) family members play crucial roles in tumors, their impact on tumor immunology remains unclear. This study aimed to elucidate the role of SRSF10 in HCC immunotherapy.</p><p><strong>Methods: </strong>To identify the key genes associated with immunotherapy resistance, we conducted single-nuclear RNA sequencing, multiplex immunofluorescence, and The Cancer Genome Atlas and Gene Expression Omnibus database analyses. We investigated the biological functions of SRSF10 in immune evasion using in vitro co-culture systems, flow cytometry, various tumor-bearing mouse models, and patient-derived organotypic tumor spheroids.</p><p><strong>Results: </strong>SRSF10 was upregulated in various tumors and associated with poor prognosis. Moreover, SRSF10 positively regulated lactate production, and SRSF10/glycolysis/ histone H3 lysine 18 lactylation (H3K18la) formed a positive feedback loop in tumor cells. Increased lactate levels promoted M2 macrophage polarization, thereby inhibiting CD8<sup>+</sup> T cell activity. Mechanistically, SRSF10 interacted with the 3'-untranslated region of MYB, enhancing MYB RNA stability, and subsequently upregulating key glycolysis-related enzymes including glucose transporter 1 (GLUT1), hexokinase 1 (HK1), lactate dehydrogenase A (LDHA), resulting in elevated intracellular and extracellular lactate levels. Lactate accumulation induced histone lactylation, which further upregulated SRSF10 expression. Additionally, lactate produced by tumors induced lactylation of the histone H3K18la site upon transport into macrophages, thereby activating transcription and enhancing pro-tumor macrophage activity. M2 macrophages, in turn, inhibited the enrichment of CD8<sup>+</sup> T cells and the proportion of interferon-γ<sup>+</sup>CD8<sup>+</sup> T cells in the tumor microenvironment (TME), thus creating an immunosuppressive TME. Clinically, SRSF10 could serve as a biomarker for assessing immunotherapy resistance in various solid tumors. Pharmacological targeting of SRSF10 with a selective inhibitor 1C8 enhanced the efficacy of programmed cell death 1 (PD-1) monoclonal antibodies (mAbs) in both murine and human preclinical models.</p><p><strong>Conclusions: </strong>The SRSF10/MYB/glycolysis/lactate axis is critical for triggering immune evasion and anti-PD-1 resistance. Inhibiting SRSF10 by 1C8 may overcome anti-PD-1 tolerance in HCC.</p>","PeriodicalId":20,"journal":{"name":"ACS Medicinal Chemistry Letters","volume":" ","pages":"1231-1260"},"PeriodicalIF":3.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142119068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objectives: To investigate the phenotypic heterogeneity of tissue-resident synovial fibroblasts and their role in inflammatory response in rheumatoid arthritis (RA).
Methods: We used single-cell and spatial transcriptomics to profile synovial cells and spatial gene expressions of synovial tissues to identify phenotypic changes in patients with osteoarthritis, RA in sustained remission and active state. Immunohistology, multiplex immunofluorescence and flow cytometry were used to identify synovial fibroblasts subsets. Deconvolution methods further validated our findings in two cohorts (PEAC and R4RA) with treatment response. Cell coculture was used to access the potential cell-cell interactions. Adoptive transfer of synovial cells in collagen-induced arthritis (CIA) mice and bulk RNA sequencing of synovial joints further validate the cellular functions.
Results: We identified a novel tissue-remodelling CD45-CD31-PDPN+ITGA5+ synovial fibroblast population with unique transcriptome of POSTN, COL3A1, CCL5 and TGFB1, and enriched in immunoregulatory pathways. This subset was upregulated in active and lympho-myeloid type of RA, associated with an increased risk of multidrug resistance. Transforming growth factor (TGF)-β1 might participate in the differentiation of this subset. Moreover, ITGA5+ synovial fibroblasts might occur in early stage of inflammation and induce the differentiation of CXCL13hiPD-1hi peripheral helper T cells (TPHs) from naïve CD4+ T cells, by secreting TGF-β1. Intra-articular injection of ITGA5+ synovial fibroblasts exacerbates RA development and upregulates TPHs in CIA mice.
Conclusions: We demonstrate that ITGA5+ synovial fibroblasts might regulate the RA progression by inducing the differentiation of CXCL13hiPD-1hi TPHs and remodelling the proinflammatory microenvironments. Therapeutic modulation of this subpopulation could therefore be a potential treatment strategy for RA.
目的:研究组织驻留滑膜成纤维细胞的表型异质性及其在类风湿关节炎(RA)炎症反应中的作用:研究组织驻留型滑膜成纤维细胞的表型异质性及其在类风湿关节炎(RA)炎症反应中的作用:我们使用单细胞和空间转录组学分析滑膜细胞和滑膜组织的空间基因表达,以确定骨关节炎、RA持续缓解期和活动期患者的表型变化。免疫组织学、多重免疫荧光和流式细胞术用于识别滑膜成纤维细胞亚群。解卷积方法进一步验证了我们在两个治疗反应队列(PEAC 和 R4RA)中的发现。细胞共培养用于了解潜在的细胞间相互作用。胶原诱导关节炎(CIA)小鼠滑膜细胞的领养转移和滑膜关节的大量RNA测序进一步验证了细胞功能:结果:我们发现了一种新型组织重塑CD45-CD31-PDPN+ITGA5+滑膜成纤维细胞群,其转录组中含有独特的POSTN、COL3A1、CCL5和TGFB1,并富含免疫调节通路。该亚群在活动型和淋巴-骨髓型RA中上调,与多药耐药性风险增加有关。转化生长因子(TGF)-β1可能参与了该亚群的分化。此外,ITGA5+滑膜成纤维细胞可能出现在炎症的早期阶段,并通过分泌TGF-β1诱导CXCL13hiPD-1hi外周辅助T细胞(TPHs)从幼稚CD4+ T细胞分化而来。关节内注射ITGA5+滑膜成纤维细胞会加剧RA的发展,并上调CIA小鼠的TPHs:我们证明了 ITGA5+ 滑膜成纤维细胞可能通过诱导 CXCL13hiPD-1hi TPHs 的分化和重塑促炎微环境来调节 RA 的发展。因此,对这一亚群的治疗调节可能是治疗 RA 的一种潜在策略。
{"title":"ITGA5<sup>+</sup> synovial fibroblasts orchestrate proinflammatory niche formation by remodelling the local immune microenvironment in rheumatoid arthritis.","authors":"Linli Zheng, Minghui Gu, Xiang Li, Xuantao Hu, Chen Chen, Yunze Kang, Baiqi Pan, Weishen Chen, Guoyan Xian, Xiaoyu Wu, Chengxin Li, Chao Wang, Zhiwen Li, Mingqiang Guan, Guanming Zhou, Ali Mobasheri, Weidong Song, Sui Peng, Puyi Sheng, Ziji Zhang","doi":"10.1136/ard-2024-225778","DOIUrl":"https://doi.org/10.1136/ard-2024-225778","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the phenotypic heterogeneity of tissue-resident synovial fibroblasts and their role in inflammatory response in rheumatoid arthritis (RA).</p><p><strong>Methods: </strong>We used single-cell and spatial transcriptomics to profile synovial cells and spatial gene expressions of synovial tissues to identify phenotypic changes in patients with osteoarthritis, RA in sustained remission and active state. Immunohistology, multiplex immunofluorescence and flow cytometry were used to identify synovial fibroblasts subsets. Deconvolution methods further validated our findings in two cohorts (PEAC and R4RA) with treatment response. Cell coculture was used to access the potential cell-cell interactions. Adoptive transfer of synovial cells in collagen-induced arthritis (CIA) mice and bulk RNA sequencing of synovial joints further validate the cellular functions.</p><p><strong>Results: </strong>We identified a novel tissue-remodelling CD45<sup>-</sup>CD31<sup>-</sup>PDPN<sup>+</sup>ITGA5<sup>+</sup> synovial fibroblast population with unique transcriptome of POSTN, COL3A1, CCL5 and TGFB1, and enriched in immunoregulatory pathways. This subset was upregulated in active and lympho-myeloid type of RA, associated with an increased risk of multidrug resistance. Transforming growth factor (TGF)-β1 might participate in the differentiation of this subset. Moreover, ITGA5<sup>+</sup> synovial fibroblasts might occur in early stage of inflammation and induce the differentiation of CXCL13<sup>hi</sup>PD<sup>-</sup>1<sup>hi</sup> peripheral helper T cells (TPHs) from naïve CD4<sup>+</sup> T cells, by secreting TGF-β1. Intra-articular injection of ITGA5<sup>+</sup> synovial fibroblasts exacerbates RA development and upregulates TPHs in CIA mice.</p><p><strong>Conclusions: </strong>We demonstrate that ITGA5<sup>+</sup> synovial fibroblasts might regulate the RA progression by inducing the differentiation of CXCL13<sup>hi</sup>PD<sup>-</sup>1<sup>hi</sup> TPHs and remodelling the proinflammatory microenvironments. Therapeutic modulation of this subpopulation could therefore be a potential treatment strategy for RA.</p>","PeriodicalId":20,"journal":{"name":"ACS Medicinal Chemistry Letters","volume":" ","pages":""},"PeriodicalIF":20.3,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142563851","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Glycosylation, a key mode of protein modification in living organisms, is critical in regulating various biological functions by influencing protein folding, transportation, and localization. Changes in glycosylation patterns are a significant feature of cancer, are associated with a range of pathological activities in cancer-related processes, and serve as critical biomarkers providing new targets for cancer diagnosis and treatment. Glycoproteins like human epidermal growth factor receptor 2 (HER2) for breast cancer, alpha-fetoprotein (AFP) for liver cancer, carcinoembryonic antigen (CEA) for colon cancer, and prostate-specific antigen (PSA) for prostate cancer are all tumor biomarkers approved for clinical use. Here, we introduce the diversity of glycosylation structures and newly discovered glycosylation substrate-glycosylated RNA (glycoRNA). This article focuses primarily on tumor metastasis, immune evasion, metabolic reprogramming, aberrant ferroptosis responses, and cellular senescence to illustrate the role of glycosylation in cancer. Additionally, we summarize the clinical applications of protein glycosylation in cancer diagnostics, treatment, and multidrug resistance. We envision a promising future for the clinical applications of protein glycosylation.
{"title":"Altered glycosylation in cancer: molecular functions and therapeutic potential.","authors":"Xuemeng Xu, Qiu Peng, Xianjie Jiang, Shiming Tan, Wenjuan Yang, Yaqian Han, Linda Oyang, Jinguan Lin, Mengzhou Shen, Jiewen Wang, Haofan Li, Longzheng Xia, Mingjing Peng, Nayiyuan Wu, Yanyan Tang, Hui Wang, Qianjin Liao, Yujuan Zhou","doi":"10.1002/cac2.12610","DOIUrl":"10.1002/cac2.12610","url":null,"abstract":"<p><p>Glycosylation, a key mode of protein modification in living organisms, is critical in regulating various biological functions by influencing protein folding, transportation, and localization. Changes in glycosylation patterns are a significant feature of cancer, are associated with a range of pathological activities in cancer-related processes, and serve as critical biomarkers providing new targets for cancer diagnosis and treatment. Glycoproteins like human epidermal growth factor receptor 2 (HER2) for breast cancer, alpha-fetoprotein (AFP) for liver cancer, carcinoembryonic antigen (CEA) for colon cancer, and prostate-specific antigen (PSA) for prostate cancer are all tumor biomarkers approved for clinical use. Here, we introduce the diversity of glycosylation structures and newly discovered glycosylation substrate-glycosylated RNA (glycoRNA). This article focuses primarily on tumor metastasis, immune evasion, metabolic reprogramming, aberrant ferroptosis responses, and cellular senescence to illustrate the role of glycosylation in cancer. Additionally, we summarize the clinical applications of protein glycosylation in cancer diagnostics, treatment, and multidrug resistance. We envision a promising future for the clinical applications of protein glycosylation.</p>","PeriodicalId":20,"journal":{"name":"ACS Medicinal Chemistry Letters","volume":" ","pages":"1316-1336"},"PeriodicalIF":3.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142280530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Neutrophils are key mediators of the immune response and play essential roles in the development of tumors and immune evasion. Emerging studies indicate that neutrophils also play a critical role in the immunotherapy resistance in cancer. In this review, firstly, we summarize the novel classification and phenotypes of neutrophils and describe the regulatory relationships between neutrophils and tumor metabolism, flora microecology, neuroendocrine and tumor therapy from a new perspective. Secondly, we review the mechanisms by which neutrophils affect drug resistance in tumor immunotherapy from the aspects of the immune microenvironment, tumor antigens, and epigenetics. Finally, we propose several promising strategies for overcoming tumor immunotherapy resistance by targeting neutrophils and provide new research ideas in this area.
{"title":"Effect of neutrophils on tumor immunity and immunotherapy resistance with underlying mechanisms.","authors":"Jiali Yao, Linlin Ji, Guang Wang, Jin Ding","doi":"10.1002/cac2.12613","DOIUrl":"https://doi.org/10.1002/cac2.12613","url":null,"abstract":"<p><p>Neutrophils are key mediators of the immune response and play essential roles in the development of tumors and immune evasion. Emerging studies indicate that neutrophils also play a critical role in the immunotherapy resistance in cancer. In this review, firstly, we summarize the novel classification and phenotypes of neutrophils and describe the regulatory relationships between neutrophils and tumor metabolism, flora microecology, neuroendocrine and tumor therapy from a new perspective. Secondly, we review the mechanisms by which neutrophils affect drug resistance in tumor immunotherapy from the aspects of the immune microenvironment, tumor antigens, and epigenetics. Finally, we propose several promising strategies for overcoming tumor immunotherapy resistance by targeting neutrophils and provide new research ideas in this area.</p>","PeriodicalId":20,"journal":{"name":"ACS Medicinal Chemistry Letters","volume":" ","pages":""},"PeriodicalIF":20.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142562643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-31DOI: 10.1038/s41377-024-01644-6
Jing Lv, Hengrong Lan, Aoji Qin, Tong Sun, Dan Shao, Fei Gao, Junjie Yao, Kamran Avanaki, Liming Nie
Advancements in precision medicine necessitate understanding drug clearance pathways, especially in organs like the liver and kidneys. Traditional techniques such as PET/CT pose radiation hazards, whereas optical imaging poses challenges in maintaining both depth penetration and high resolution. Moreover, very few longitudinal studies have been performed for drug candidates for different symptoms. Leveraging non-ionizing photoacoustic tomography for deep tissue imaging, we developed a spatiotemporally resolved clearance pathway tracking (SRCPT) method, providing unprecedented insights into drug clearance dynamics within vital organs. SRCPT addresses challenges like laser fluence attenuation, enabling dynamic visualization of drug clearance pathways and essential parameter extraction. We employed a novel frequency component selection based synthetic aperture focusing technique (FCS-SAFT) with respiratory-artifacts-free weighting factors to enhance three-dimensional imaging resolutions. Inspired by this, we investigated the clearance pathway of a clinical drug, mitoxantrone, revealing reduced liver clearance when hepatic function is impaired. Furthermore, immunoglobulin G clearance analysis revealed significant differences among mice with varying renal injury degrees. The accuracy of our method was validated using a double-labeled probe [68Ga]DFO-IRDye800CW, showing a strong positive correlation between SRCPT and PET. We believe that this powerful SRCPT promises precise mapping of drug clearance pathways and enhances diagnosis and treatment of liver and kidney-related diseases.
精准医疗的发展要求了解药物清除途径,尤其是肝脏和肾脏等器官的清除途径。正电子发射计算机断层显像(PET/CT)等传统技术存在辐射危害,而光学成像在保持深度穿透和高分辨率方面也面临挑战。此外,针对不同症状的候选药物很少进行纵向研究。利用用于深部组织成像的非电离光声断层成像技术,我们开发了一种时空分辨清除路径跟踪(SRCPT)方法,为重要器官内的药物清除动态提供了前所未有的洞察力。SRCPT 解决了激光通量衰减等难题,实现了药物清除路径的动态可视化和基本参数提取。我们采用了一种新颖的基于频率成分选择的合成孔径聚焦技术(FCS-SAFT)和无呼吸伪影加权因子,以提高三维成像分辨率。受此启发,我们研究了临床药物米托蒽醌的清除途径,发现当肝功能受损时,肝脏的清除率会降低。此外,免疫球蛋白 G 清除率分析表明,不同肾损伤程度的小鼠之间存在显著差异。我们使用双标记探针[68Ga]DFO-IRDye800CW验证了我们方法的准确性,结果显示 SRCPT 和 PET 之间存在很强的正相关性。我们相信,这种功能强大的 SRCPT 可精确绘制药物清除途径图,提高肝肾相关疾病的诊断和治疗水平。
{"title":"Dynamic synthetic-scanning photoacoustic tracking monitors hepatic and renal clearance pathway of exogeneous probes in vivo","authors":"Jing Lv, Hengrong Lan, Aoji Qin, Tong Sun, Dan Shao, Fei Gao, Junjie Yao, Kamran Avanaki, Liming Nie","doi":"10.1038/s41377-024-01644-6","DOIUrl":"https://doi.org/10.1038/s41377-024-01644-6","url":null,"abstract":"<p>Advancements in precision medicine necessitate understanding drug clearance pathways, especially in organs like the liver and kidneys. Traditional techniques such as PET/CT pose radiation hazards, whereas optical imaging poses challenges in maintaining both depth penetration and high resolution. Moreover, very few longitudinal studies have been performed for drug candidates for different symptoms. Leveraging non-ionizing photoacoustic tomography for deep tissue imaging, we developed a spatiotemporally resolved clearance pathway tracking (SRCPT) method, providing unprecedented insights into drug clearance dynamics within vital organs. SRCPT addresses challenges like laser fluence attenuation, enabling dynamic visualization of drug clearance pathways and essential parameter extraction. We employed a novel frequency component selection based synthetic aperture focusing technique (FCS-SAFT) with respiratory-artifacts-free weighting factors to enhance three-dimensional imaging resolutions. Inspired by this, we investigated the clearance pathway of a clinical drug, mitoxantrone, revealing reduced liver clearance when hepatic function is impaired. Furthermore, immunoglobulin G clearance analysis revealed significant differences among mice with varying renal injury degrees. The accuracy of our method was validated using a double-labeled probe [<sup>68</sup>Ga]DFO-IRDye800CW, showing a strong positive correlation between SRCPT and PET. We believe that this powerful SRCPT promises precise mapping of drug clearance pathways and enhances diagnosis and treatment of liver and kidney-related diseases.</p>","PeriodicalId":20,"journal":{"name":"ACS Medicinal Chemistry Letters","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142556220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Predicting bacteriophage infection of specific bacterial strains promises advancements in phage therapy and microbial ecology. Whether the dynamics of well-established phage–host model systems generalize to the wide diversity of microbes is currently unknown. Here we show that we could accurately predict the outcomes of phage–bacteria interactions at the strain level in natural isolates from the genus Escherichia using only genomic data (area under the receiver operating characteristic curve (AUROC) of 86%). We experimentally established a dataset of interactions between 403 diverse Escherichia strains and 96 phages. Most interactions are explained by adsorption factors as opposed to antiphage systems which play a marginal role. We trained predictive algorithms and pinpoint poorly predicted interactions to direct future research efforts. Finally, we established a pipeline to recommend tailored phage cocktails, demonstrating efficiency on 100 pathogenic E. coli isolates. This work provides quantitative insights into phage–host specificity and supports the use of predictive algorithms in phage therapy. Phage–host interactions are computationally predicted using only genomic information, highlighting future research directions and enabling generation of custom phage cocktails.
{"title":"Prediction of strain level phage–host interactions across the Escherichia genus using only genomic information","authors":"Baptiste Gaborieau, Hugo Vaysset, Florian Tesson, Inès Charachon, Nicolas Dib, Juliette Bernier, Tanguy Dequidt, Héloïse Georjon, Olivier Clermont, Pascal Hersen, Laurent Debarbieux, Jean-Damien Ricard, Erick Denamur, Aude Bernheim","doi":"10.1038/s41564-024-01832-5","DOIUrl":"10.1038/s41564-024-01832-5","url":null,"abstract":"Predicting bacteriophage infection of specific bacterial strains promises advancements in phage therapy and microbial ecology. Whether the dynamics of well-established phage–host model systems generalize to the wide diversity of microbes is currently unknown. Here we show that we could accurately predict the outcomes of phage–bacteria interactions at the strain level in natural isolates from the genus Escherichia using only genomic data (area under the receiver operating characteristic curve (AUROC) of 86%). We experimentally established a dataset of interactions between 403 diverse Escherichia strains and 96 phages. Most interactions are explained by adsorption factors as opposed to antiphage systems which play a marginal role. We trained predictive algorithms and pinpoint poorly predicted interactions to direct future research efforts. Finally, we established a pipeline to recommend tailored phage cocktails, demonstrating efficiency on 100 pathogenic E. coli isolates. This work provides quantitative insights into phage–host specificity and supports the use of predictive algorithms in phage therapy. Phage–host interactions are computationally predicted using only genomic information, highlighting future research directions and enabling generation of custom phage cocktails.","PeriodicalId":20,"journal":{"name":"ACS Medicinal Chemistry Letters","volume":"9 11","pages":"2847-2861"},"PeriodicalIF":20.5,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-30DOI: 10.1038/s41564-024-01838-z
Jane E. Sinclair, Courtney Vedelago, Feargal J. Ryan, Meagan Carney, Meredith A. Redd, Miriam A. Lynn, Branka Grubor-Bauk, Yuanzhao Cao, Anjali K. Henders, Keng Yih Chew, Deborah Gilroy, Kim Greaves, Larisa Labzin, Laura Ziser, Katharina Ronacher, Leanne M. Wallace, Yiwen Zhang, Kyle Macauslane, Daniel J. Ellis, Sudha Rao, Lucy Burr, Amanda Bain, Anjana Karawita, Benjamin L. Schulz, Junrong Li, David J. Lynn, Nathan Palpant, Alain Wuethrich, Matt Trau, Kirsty R. Short
An estimated 65 million people globally suffer from post-acute sequelae of COVID-19 (PASC), with many experiencing cardiovascular symptoms (PASC-CVS) like chest pain and heart palpitations. This study examines the role of chronic inflammation in PASC-CVS, particularly in individuals with symptoms persisting over a year after infection. Blood samples from three groups—recovered individuals, those with prolonged PASC-CVS and SARS-CoV-2-negative individuals—revealed that those with PASC-CVS had a blood signature linked to inflammation. Trace-level pro-inflammatory cytokines were detected in the plasma from donors with PASC-CVS 18 months post infection using nanotechnology. Importantly, these trace-level cytokines affected the function of primary human cardiomyocytes. Plasma proteomics also demonstrated higher levels of complement and coagulation proteins in the plasma from patients with PASC-CVS. This study highlights chronic inflammation’s role in the symptoms of PASC-CVS.
{"title":"Post-acute sequelae of SARS-CoV-2 cardiovascular symptoms are associated with trace-level cytokines that affect cardiomyocyte function","authors":"Jane E. Sinclair, Courtney Vedelago, Feargal J. Ryan, Meagan Carney, Meredith A. Redd, Miriam A. Lynn, Branka Grubor-Bauk, Yuanzhao Cao, Anjali K. Henders, Keng Yih Chew, Deborah Gilroy, Kim Greaves, Larisa Labzin, Laura Ziser, Katharina Ronacher, Leanne M. Wallace, Yiwen Zhang, Kyle Macauslane, Daniel J. Ellis, Sudha Rao, Lucy Burr, Amanda Bain, Anjana Karawita, Benjamin L. Schulz, Junrong Li, David J. Lynn, Nathan Palpant, Alain Wuethrich, Matt Trau, Kirsty R. Short","doi":"10.1038/s41564-024-01838-z","DOIUrl":"https://doi.org/10.1038/s41564-024-01838-z","url":null,"abstract":"<p>An estimated 65 million people globally suffer from post-acute sequelae of COVID-19 (PASC), with many experiencing cardiovascular symptoms (PASC-CVS) like chest pain and heart palpitations. This study examines the role of chronic inflammation in PASC-CVS, particularly in individuals with symptoms persisting over a year after infection. Blood samples from three groups—recovered individuals, those with prolonged PASC-CVS and SARS-CoV-2-negative individuals—revealed that those with PASC-CVS had a blood signature linked to inflammation. Trace-level pro-inflammatory cytokines were detected in the plasma from donors with PASC-CVS 18 months post infection using nanotechnology. Importantly, these trace-level cytokines affected the function of primary human cardiomyocytes. Plasma proteomics also demonstrated higher levels of complement and coagulation proteins in the plasma from patients with PASC-CVS. This study highlights chronic inflammation’s role in the symptoms of PASC-CVS.</p>","PeriodicalId":20,"journal":{"name":"ACS Medicinal Chemistry Letters","volume":"126 1","pages":""},"PeriodicalIF":28.3,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-30DOI: 10.1038/s41564-024-01864-x
In this month’s issue, we launch a new Series on best practices: an evolving collection of articles that will expand over time to highlight tools, frameworks and resources that push us towards better microbiology research.
{"title":"A path to better practices in microbiology","authors":"","doi":"10.1038/s41564-024-01864-x","DOIUrl":"10.1038/s41564-024-01864-x","url":null,"abstract":"In this month’s issue, we launch a new Series on best practices: an evolving collection of articles that will expand over time to highlight tools, frameworks and resources that push us towards better microbiology research.","PeriodicalId":20,"journal":{"name":"ACS Medicinal Chemistry Letters","volume":"9 11","pages":"2763-2764"},"PeriodicalIF":20.5,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41564-024-01864-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142541494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-30DOI: 10.1021/acsmedchemlett.4c0043410.1021/acsmedchemlett.4c00434
Jingjing Peng, Xiaoyu Ding, Celia X. J. Chen, Pei-Yu Shih, Qingyuan Meng, Xiao Ding, Man Zhang, Alex Aliper, Feng Ren, Hongfu Lu* and Alex Zhavoronkov*,
Hematopoietic progenitor kinase 1 (HPK1) negatively affects T cell activation and proliferation and is a promising target for immunotherapy. Although HPK1 inhibitors have shown promising efficacy in preclinical models, none have been approved for clinical use. One significant challenge in developing an HPK1 inhibitor is the difficulty in designing a potent inhibitor with good kinase selectivity and pharmacokinetic properties. Here, we report a series of spiro HPK1 inhibitors with good potency and selectivity. Specifically, compound 16 exhibited potent HPK1 inhibition (IC50 = 2.67 nM), adequate selectivity toward the MAP4K family (>100-fold), and good selectivity against selected kinases (>300-fold). Compound 16 demonstrated moderate in vivo clearance and reasonable oral exposure in mice and rats. Notably, compound 16 possessed good antitumor efficacy in the CT26 murine colon cancer and a synergistic effect when combined with anti-PD-1. These exciting preclinical results support the continued development of this class of HPK1 inhibitors.
{"title":"Design, Synthesis, and Biological Evaluation of a Series of Spiro Analogues as Novel HPK1 Inhibitors","authors":"Jingjing Peng, Xiaoyu Ding, Celia X. J. Chen, Pei-Yu Shih, Qingyuan Meng, Xiao Ding, Man Zhang, Alex Aliper, Feng Ren, Hongfu Lu* and Alex Zhavoronkov*, ","doi":"10.1021/acsmedchemlett.4c0043410.1021/acsmedchemlett.4c00434","DOIUrl":"https://doi.org/10.1021/acsmedchemlett.4c00434https://doi.org/10.1021/acsmedchemlett.4c00434","url":null,"abstract":"<p >Hematopoietic progenitor kinase 1 (HPK1) negatively affects T cell activation and proliferation and is a promising target for immunotherapy. Although HPK1 inhibitors have shown promising efficacy in preclinical models, none have been approved for clinical use. One significant challenge in developing an HPK1 inhibitor is the difficulty in designing a potent inhibitor with good kinase selectivity and pharmacokinetic properties. Here, we report a series of spiro HPK1 inhibitors with good potency and selectivity. Specifically, compound <b>16</b> exhibited potent HPK1 inhibition (IC<sub>50</sub> = 2.67 nM), adequate selectivity toward the MAP4K family (>100-fold), and good selectivity against selected kinases (>300-fold). Compound <b>16</b> demonstrated moderate <i>in vivo</i> clearance and reasonable oral exposure in mice and rats. Notably, compound <b>16</b> possessed good antitumor efficacy in the CT26 murine colon cancer and a synergistic effect when combined with anti-PD-1. These exciting preclinical results support the continued development of this class of HPK1 inhibitors.</p>","PeriodicalId":20,"journal":{"name":"ACS Medicinal Chemistry Letters","volume":"15 11","pages":"2032–2041 2032–2041"},"PeriodicalIF":3.5,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142640624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}